Strategic advice & alerts to leverage data analytics & new technologies

Leverage data and the technologies that generate it, from ML, IA, NLP, blockchain, IoT, and emerging tech; to data science, data visualization, predictive modeling; to data quality, data governance, and data architecture.

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Thomas Gossler writes about how a digital ecosystem platform demands a solid architecture for data and infrastructure on top of which a network of stakeholders can engage in valuable interactions with each other. The journey from a pipeline business model to an ecosystem platform is no small feat, and the author shares the approach he and his colleagues at Siemens Healthineers took and the lessons learned in their seven-year digital transformation
The authors take a two-part approach to discussing the design of adaptive digital and data architectures. First, they propose a way to design solutions that actively identify and address key uncertainties and concerns so that the right kinds of EA artifacts will emerge to answer key questions about user desirability, technical feasibility, and financial viability for the right people. Second, they share patterns and techniques that can be used to design and build digital and data architectures with a high level of flexibility and adaptability that can better support the changes in priorities that successful digital transformation efforts need to be able to steer.
Any digital transformation requires significant changes across many dimensions, ranging from operating models to funding models to platform architecture, among others. In this article, Eric Willeke argues that keeping these changes aligned can be one of the hardest elements of digital transformation, especially when organizations try to sidestep the challenge of evolving their current technology organization to the required level of capability by creating a new, “digital” organization instead. Such attempts fail to address three problem areas that can trip up any digital transformation effort: fragmented value streams, poor decision governance, and inadequate management of the business capability portfolio.
In this issue of Cutter Business Technology Journal, we explore how enabling successful digital transformations through data and digital architectures can facilitate the enablement of the value streams and customer journeys companies build to stay in touch with changing client expectations and user experiences, all while building out the organization’s digital backbone.
Here in Part II of this Executive Update series, we examine findings pertaining to surveyed organizations’ plans for adopting IPA into the enterprise, the establishment of dedicated enterprise IPA groups, the groups that are taking the lead on IPA, and the reasons such groups oversee enterprise IPA initiatives. 
Each year, research organizations publish lists of the top technologies to watch in the new year. Many of these trendy “celebrity” technologies appear on every list we see. But what about the ones that don’t always make the lists but are important to our personal and professional lives? In this Executive Update, we present a list of seven underdogs — technologies to watch closely. Look out — they just might become “wonderdogs” in 2021 and beyond.
Increasingly, government agencies, businesses, universities, and other organizations are working together to build AI systems that analyze geo-mapped and other location-based data. One such impressive new ML application uses Uber driver data to track and alleviate urban traffic congestion. It is designed to give urban transportation analysts and traffic engineers access to information about city traffic patterns in order to relieve bottlenecks, chokepoints and other problems.
The unemployment and income instability caused by COVID-19 has resulted in many people having difficulty meeting their credit obligations and many industries struggling to run their operations. Worldwide, governments and businesses have taken steps with exceptional speed to match this pandemic‘s unprecedented nature.